• DocumentCode
    3216217
  • Title

    Virtual chromosome modeling for learning human cytogenetics

  • Author

    Yang, Xiaoli ; Wu, Wei ; Wen, Ding ; Chen, Bin ; Lacny, Jason ; Tseng, Charles

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Purdue Univ. Calumet, Hammond, IN, USA
  • fYear
    2010
  • fDate
    9-11 June 2010
  • Firstpage
    910
  • Lastpage
    913
  • Abstract
    The G-banding technique is routinely used for generating characteristic banding patterns for chromosome identification and karyotyping. Since G-band patterns are not static, training cytogenetics technologists to master the skills of chromosome analysis is a long process. Furthermore, the opportunities for biology students to access a wide range of different chromosome aberrations for practice are limited. To increase the resource for analyzing normal and abnormal human chromosomes, we hereby introduce an image processing and recognition method to create virtual chromosomes for education purposes at universities and clinical laboratories. While maintaining the entire characteristic features of digitized G-banded chromosomes from prepared microscope slides, the newly developed virtual chromosome modeling system is dynamic with the capability of changing shapes and creating certain chromosome abnormalities such as deletions in association with diseases including cancers. The virtual chromosomes will also provide a foundation for developing chromosome based genetics learning program linking both transmission and molecular genetics.
  • Keywords
    biomedical education; cellular biophysics; computer aided instruction; educational institutions; genetics; image recognition; medical computing; G- banded chromosome; G-band pattern; G-banding technique; characteristic banding pattern; chromosome identification; clinical laboratory; genetics learning program; human chromosome analysis; image processing method; image recognition method; karyotyping; learning human cytogenetics; virtual chromosome modeling system; Biological cells; Biological system modeling; Character generation; Educational institutions; Genetics; Humans; Image analysis; Image processing; Image recognition; Pattern analysis; chromosome modeling; image processing; pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (ICCA), 2010 8th IEEE International Conference on
  • Conference_Location
    Xiamen
  • ISSN
    1948-3449
  • Print_ISBN
    978-1-4244-5195-1
  • Electronic_ISBN
    1948-3449
  • Type

    conf

  • DOI
    10.1109/ICCA.2010.5524141
  • Filename
    5524141